An Apriori-based Data Analysis on Suspicious Network Event Recognition
Apriori-based rule generators, which are powered by the DIS-Apriori algorithm and the NIS-Apriori algorithm, are applied to analyze the data sets available in the IEEE BigData 2019 Cup: Suspicious Network Event Recognition. Then, each missing value in the test data set is decided by using the obtain...
| Main Authors: | Jian, Z., Sakai, H., Watada, J., Roy, A., Hassan, M.H.B. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30159 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081355750&doi=10.1109%2fBigData47090.2019.9006420&partnerID=40&md5=e5cf69fd42d66343581335cd3dfff099 http://eprints.utp.edu.my/30159/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!